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Description of Statistical Computation

Author's title

Author*The author of this computation has been verified*
R Software ModulePatrick.Wessarwasp_pairs.wasp
Title produced by softwareKendall tau Correlation Matrix
Date of computationSat, 11 Dec 2010 13:37:31 +0000
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2010/Dec/11/t1292074931mbfy83nqa4fxqmy.htm/, Retrieved Tue, 07 May 2024 00:07:08 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=108152, Retrieved Tue, 07 May 2024 00:07:08 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact161

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Kendall tau Correlation Matrix] [] [2010-12-05 17:44:33] [b98453cac15ba1066b407e146608df68]
-   PD    [Kendall tau Correlation Matrix] [WS10 Computation ...] [2010-12-11 13:37:31] [67e3c2d70de1dbb070b545ca6c893d5e] [Current]
- RM D      [Kendall tau Correlation Matrix] [WS10 Pearson Corr...] [2010-12-14 15:24:42] [945bcebba5e7ac34a41d6888338a1ba9]
- R           [Kendall tau Correlation Matrix] [Kendel toa] [2010-12-14 20:01:17] [b84bdc9bd81e1f02ca0dcc4710c1b790]
-   P           [Kendall tau Correlation Matrix] [] [2010-12-21 09:03:49] [f730b099f190102bcd41f590a8dae16d]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
5	1	24	14	11	12	24	26
7	0	25	11	7	8	25	23
7	0	17	6	17	8	30	25
5	1	18	12	10	8	19	23
6	0	18	8	12	9	22	19
6	0	16	10	12	7	22	29
6	0	20	10	11	4	25	25
5	0	16	11	11	11	23	21
4	0	18	16	12	7	17	22
5	0	17	11	13	7	21	25
5	1	23	13	14	12	19	24
6	0	30	12	16	10	19	18
5	0	23	8	11	10	15	22
5	0	18	12	10	8	16	15
10	1	15	11	11	8	23	22
5	1	12	4	15	4	27	28
6	0	21	9	9	9	22	20
5	1	15	8	11	8	14	12
7	1	20	8	17	7	22	24
4	0	31	14	17	11	23	20
8	0	27	15	11	9	23	21
	0	34	16	18	11	21	20
5	0	21	9	14	13	19	21
5	1	31	14	10	8	18	23
6	1	19	11	11	8	20	28
6	0	16	8	15	9	23	24
5	0	20	9	15	6	25	24
5	1	21	9	13	9	19	24
7	1	22	9	16	9	24	23
4	0	17	9	13	6	22	23
5	0	24	10	9	6	25	29
7	0	25	16	18	16	26	24
5	0	26	11	18	5	29	18
8	0	25	8	12	7	32	25
5	0	17	9	17	9	25	21
5	1	32	16	9	6	29	26
5	1	33	11	9	6	28	22
6	1	13	16	12	5	17	22
6	0	32	12	18	12	28	22
6	1	25	12	12	7	29	23
5	1	29	14	18	10	26	30
5	0	22	9	14	9	25	23
5	1	18	10	15	8	14	17
6	0	17	9	16	5	25	23
5	1	20	10	10	8	26	23
6	1	15	12	11	8	20	25
7	0	20	14	14	10	18	24
6	1	33	14	9	6	32	24
7	0	29	10	12	8	25	23
6	0	23	14	17	7	25	21
5	1	26	16	5	4	23	24
5	1	18	9	12	8	21	24
5	0	20	10	12	8	20	28
6	0	11	6	6	4	15	16
8	1	28	8	24	20	30	20
5	0	26	13	12	8	24	29
6	0	22	10	12	8	26	27
10	1	17	8	14	6	24	22
6	1	12	7	7	4	22	28
5	0	14	15	13	8	14	16
5	1	17	9	12	9	24	25
6	1	21	10	13	6	24	24
6	0	19	12	14	7	24	28
5	1	18	13	8	9	24	24
5	1	10	10	11	5	19	23
5	1	29	11	9	5	31	30
5	1	31	8	11	8	22	24
5	1	19	9	13	8	27	21
5	1	9	13	10	6	19	25
5	0	20	11	11	8	25	25
6	0	28	8	12	7	20	22
5	0	19	9	9	7	21	23
7	0	30	9	15	9	27	26
4	0	29	15	18	11	23	23
7	0	26	9	15	6	25	25
6	0	23	10	12	8	20	21
		13	14	13	6	21	25
6	0	21	12	14	9	22	24
6	1	19	12	10	8	23	29
4	0	28	11	13	6	25	22
6	0	23	14	13	10	25	27
5	0	18	6	11	8	17	26
5	1	21	12	13	8	19	22
6	0	20	8	16	10	25	24
5	1	23	14	8	5	19	27
5	1	21	11	16	7	20	24
6	0	21	10	11	5	26	24
6	1	15	14	9	8	23	29
7	0	28	12	16	14	27	22
5	1	19	10	12	7	17	21
5	1	26	14	14	8	17	24
5	0	10	5	8	6	19	24
5	1	16	11	9	5	17	23
6	0	22	10	15	6	22	20
5	1	19	9	11	10	21	27
6	0	31	10	21	12	32	26
5	1	31	16	14	9	21	25
7	0	29	13	18	12	21	21
6	1	19	9	12	7	18	21
6	0	22	10	13	8	18	19
5	0	23	10	15	10	23	21
7	1	15	7	12	6	19	21
6	0	20	9	19	10	20	16
5	0	18	8	15	10	21	22
5	1	23	14	11	10	20	29
6	0	25	14	11	5	17	15
8	0	21	8	10	7	18	17
5	0	24	9	13	10	19	15
4	0	25	14	15	11	22	21
5	1	17	14	12	6	15	21
5	0	13	8	12	7	14	19
8	0	28	8	16	12	18	24
7	1	21	8	9	11	24	20
5	0	25	7	18	11	35	17
5	0	9	6	8	11	29	23
7	0	16	8	13	5	21	24
		19	6	17	8	25	14
5	1	17	11	9	6	20	19
5	1	25	14	15	9	22	24
4	1	20	11	8	4	13	13
		29	11	7	4	26	22
5	0	14	11	12	7	17	16
7	0	22	14	14	11	25	19
4	0	15	8	6	6	20	25
6	1	19	20	8	7	19	25
7	1	20	11	17	8	21	23
6	0	15	8	10	4	22	24
8	0	20	11	11	8	24	26
8	0	18	10	14	9	21	26
5	0	33	14	11	8	26	25
7	0	22	11	13	11	24	18
4	0	16	9	12	8	16	21
8	1	17	9	11	5	23	26
6	0	16	8	9	4	18	23
5	1	21	10	12	8	16	23
6	1	26	13	20	10	26	22
7	0	18	13	12	6	19	20
6	0	18	12	13	9	21	13
6	0	17	8	12	9	21	24
4	0	22	13	12	13	22	15
7	0	30	14	9	9	23	14
6	0	30	12	15	10	29	22
9	0	24	14	24	20	21	10
5	1	21	15	7	5	21	24
	0	21	13	17	11	23	22
7	0	29	16	11	6	27	24
5	0	31	9	17	9	25	19
7	0	20	9	11	7	21	20
6	0	16	9	12	9	10	13
6	0	22	8	14	10	20	20
6	0	20	7	11	9	26	22
5	0	28	16	16	8	24	24
7	0	38	11	21	7	29	29
4	0	22	9	14	6	19	12
9	0	20	11	20	13	24	20
6	0	17	9	13	6	19	21
5	1	28	14	11	8	24	24
5	0	22	13	15	10	22	22
6	0	31	16	19	16	17	20

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time3 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135
R Framework error message
Warning: there are blank lines in the 'Data X' field.
Please, use NA for missing data - blank lines are simply
 deleted and are NOT treated as missing values.

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 3 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
R Framework error message & 
Warning: there are blank lines in the 'Data X' field.
Please, use NA for missing data - blank lines are simply
 deleted and are NOT treated as missing values.
 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=108152&T=0

[TABLE]
[ROW][C]Summary of computational transaction[/C][/ROW]
[ROW][C]Raw Input[/C][C]view raw input (R code) [/C][/ROW]
[ROW][C]Raw Output[/C][C]view raw output of R engine [/C][/ROW]
[ROW][C]Computing time[/C][C]3 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Gwilym Jenkins' @ 72.249.127.135[/C][/ROW]
[ROW][C]R Framework error message[/C][C]
Warning: there are blank lines in the 'Data X' field.
Please, use NA for missing data - blank lines are simply
 deleted and are NOT treated as missing values.
[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=108152&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=108152&T=0

As an alternative you can also use a QR Code:  
QR Code


The GUIDs for individual cells are displayed in the table below:

Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time3 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135
R Framework error message
Warning: there are blank lines in the 'Data X' field.
Please, use NA for missing data - blank lines are simply
 deleted and are NOT treated as missing values.






Correlations for all pairs of data series (method=pearson)
LeeftijdGeslachtConMistDoubactParExpParCritPersStaOrga
Leeftijd1-0.459-0.4590.4690.37-0.507-0.6090.623
Geslacht-0.4591-0.2480.013-0.2630.6880.147-0.712
ConMist-0.459-0.2481-0.454-0.063-0.0690.4770.05
Doubact0.4690.013-0.45410.575-0.318-0.6570.354
ParExp0.37-0.263-0.0630.5751-0.668-0.6820.586
ParCrit-0.5070.688-0.069-0.318-0.66810.644-0.791
PersSta-0.6090.1470.477-0.657-0.6820.6441-0.506
Orga 0.623-0.7120.050.3540.586-0.791-0.5061

\begin{tabular}{lllllllll}
\hline
Correlations for all pairs of data series (method=pearson) \tabularnewline
  & Leeftijd & Geslacht & ConMist & Doubact & ParExp & ParCrit & PersSta & Orga
 \tabularnewline
Leeftijd & 1 & -0.459 & -0.459 & 0.469 & 0.37 & -0.507 & -0.609 & 0.623 \tabularnewline
Geslacht & -0.459 & 1 & -0.248 & 0.013 & -0.263 & 0.688 & 0.147 & -0.712 \tabularnewline
ConMist & -0.459 & -0.248 & 1 & -0.454 & -0.063 & -0.069 & 0.477 & 0.05 \tabularnewline
Doubact & 0.469 & 0.013 & -0.454 & 1 & 0.575 & -0.318 & -0.657 & 0.354 \tabularnewline
ParExp & 0.37 & -0.263 & -0.063 & 0.575 & 1 & -0.668 & -0.682 & 0.586 \tabularnewline
ParCrit & -0.507 & 0.688 & -0.069 & -0.318 & -0.668 & 1 & 0.644 & -0.791 \tabularnewline
PersSta & -0.609 & 0.147 & 0.477 & -0.657 & -0.682 & 0.644 & 1 & -0.506 \tabularnewline
Orga
 & 0.623 & -0.712 & 0.05 & 0.354 & 0.586 & -0.791 & -0.506 & 1 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=108152&T=1

[TABLE]
[ROW][C]Correlations for all pairs of data series (method=pearson)[/C][/ROW]
[ROW][C] [/C][C]Leeftijd[/C][C]Geslacht[/C][C]ConMist[/C][C]Doubact[/C][C]ParExp[/C][C]ParCrit[/C][C]PersSta[/C][C]Orga
[/C][/ROW]
[ROW][C]Leeftijd[/C][C]1[/C][C]-0.459[/C][C]-0.459[/C][C]0.469[/C][C]0.37[/C][C]-0.507[/C][C]-0.609[/C][C]0.623[/C][/ROW]
[ROW][C]Geslacht[/C][C]-0.459[/C][C]1[/C][C]-0.248[/C][C]0.013[/C][C]-0.263[/C][C]0.688[/C][C]0.147[/C][C]-0.712[/C][/ROW]
[ROW][C]ConMist[/C][C]-0.459[/C][C]-0.248[/C][C]1[/C][C]-0.454[/C][C]-0.063[/C][C]-0.069[/C][C]0.477[/C][C]0.05[/C][/ROW]
[ROW][C]Doubact[/C][C]0.469[/C][C]0.013[/C][C]-0.454[/C][C]1[/C][C]0.575[/C][C]-0.318[/C][C]-0.657[/C][C]0.354[/C][/ROW]
[ROW][C]ParExp[/C][C]0.37[/C][C]-0.263[/C][C]-0.063[/C][C]0.575[/C][C]1[/C][C]-0.668[/C][C]-0.682[/C][C]0.586[/C][/ROW]
[ROW][C]ParCrit[/C][C]-0.507[/C][C]0.688[/C][C]-0.069[/C][C]-0.318[/C][C]-0.668[/C][C]1[/C][C]0.644[/C][C]-0.791[/C][/ROW]
[ROW][C]PersSta[/C][C]-0.609[/C][C]0.147[/C][C]0.477[/C][C]-0.657[/C][C]-0.682[/C][C]0.644[/C][C]1[/C][C]-0.506[/C][/ROW]
[ROW][C]Orga
[/C][C]0.623[/C][C]-0.712[/C][C]0.05[/C][C]0.354[/C][C]0.586[/C][C]-0.791[/C][C]-0.506[/C][C]1[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=108152&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=108152&T=1

As an alternative you can also use a QR Code:  
QR Code


The GUIDs for individual cells are displayed in the table below:

Correlations for all pairs of data series (method=pearson)
LeeftijdGeslachtConMistDoubactParExpParCritPersStaOrga
Leeftijd1-0.459-0.4590.4690.37-0.507-0.6090.623
Geslacht-0.4591-0.2480.013-0.2630.6880.147-0.712
ConMist-0.459-0.2481-0.454-0.063-0.0690.4770.05
Doubact0.4690.013-0.45410.575-0.318-0.6570.354
ParExp0.37-0.263-0.0630.5751-0.668-0.6820.586
ParCrit-0.5070.688-0.069-0.318-0.66810.644-0.791
PersSta-0.6090.1470.477-0.657-0.6820.6441-0.506
Orga 0.623-0.7120.050.3540.586-0.791-0.5061






Correlations for all pairs of data series with p-values
pairPearson rSpearman rhoKendall tau
Leeftijd;Geslacht-0.4593-0.5079-0.3502
p-value(0)(0)(0)
Leeftijd;ConMist-0.4585-0.4081-0.275
p-value(0)(0)(0)
Leeftijd;Doubact0.46910.50210.3196
p-value(0)(0)(0)
Leeftijd;ParExp0.370.57490.4249
p-value(0)(0)(0)
Leeftijd;ParCrit-0.5066-0.6188-0.4406
p-value(0)(0)(0)
Leeftijd;PersSta-0.6093-0.6729-0.465
p-value(0)(0)(0)
Leeftijd;Orga 0.62330.67620.4809
p-value(0)(0)(0)
Geslacht;ConMist-0.248-0.1868-0.0383
p-value(0.0016)(0.0184)(0.4944)
Geslacht;Doubact0.01320.05810.0354
p-value(0.8685)(0.4668)(0.5265)
Geslacht;ParExp-0.2625-0.3554-0.2255
p-value(8e-04)(0)(1e-04)
Geslacht;ParCrit0.68830.53350.3723
p-value(0)(0)(0)
Geslacht;PersSta0.14660.13820.055
p-value(0.0651)(0.0824)(0.3288)
Geslacht;Orga -0.7115-0.6603-0.4684
p-value(0)(0)(0)
ConMist;Doubact-0.4536-0.531-0.3744
p-value(0)(0)(0)
ConMist;ParExp-0.0631-0.1061-0.0532
p-value(0.4296)(0.1834)(0.344)
ConMist;ParCrit-0.06940.02120.0135
p-value(0.3849)(0.7904)(0.8096)
ConMist;PersSta0.47680.46910.2927
p-value(0)(0)(0)
ConMist;Orga 0.0501-0.0095-0.0025
p-value(0.5304)(0.9054)(0.9653)
Doubact;ParExp0.5750.59250.4326
p-value(0)(0)(0)
Doubact;ParCrit-0.3179-0.3572-0.2463
p-value(0)(0)(0)
Doubact;PersSta-0.6565-0.6613-0.4613
p-value(0)(0)(0)
Doubact;Orga 0.35450.31650.2144
p-value(0)(0)(1e-04)
ParExp;ParCrit-0.6679-0.7492-0.572
p-value(0)(0)(0)
ParExp;PersSta-0.682-0.635-0.4679
p-value(0)(0)(0)
ParExp;Orga 0.58620.5970.4121
p-value(0)(0)(0)
ParCrit;PersSta0.64360.64710.4969
p-value(0)(0)(0)
ParCrit;Orga -0.7905-0.6915-0.5016
p-value(0)(0)(0)
PersSta;Orga -0.5058-0.435-0.3224
p-value(0)(0)(0)

\begin{tabular}{lllllllll}
\hline
Correlations for all pairs of data series with p-values \tabularnewline
pair & Pearson r & Spearman rho & Kendall tau \tabularnewline
Leeftijd;Geslacht & -0.4593 & -0.5079 & -0.3502 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Leeftijd;ConMist & -0.4585 & -0.4081 & -0.275 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Leeftijd;Doubact & 0.4691 & 0.5021 & 0.3196 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Leeftijd;ParExp & 0.37 & 0.5749 & 0.4249 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Leeftijd;ParCrit & -0.5066 & -0.6188 & -0.4406 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Leeftijd;PersSta & -0.6093 & -0.6729 & -0.465 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Leeftijd;Orga
 & 0.6233 & 0.6762 & 0.4809 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Geslacht;ConMist & -0.248 & -0.1868 & -0.0383 \tabularnewline
p-value & (0.0016) & (0.0184) & (0.4944) \tabularnewline
Geslacht;Doubact & 0.0132 & 0.0581 & 0.0354 \tabularnewline
p-value & (0.8685) & (0.4668) & (0.5265) \tabularnewline
Geslacht;ParExp & -0.2625 & -0.3554 & -0.2255 \tabularnewline
p-value & (8e-04) & (0) & (1e-04) \tabularnewline
Geslacht;ParCrit & 0.6883 & 0.5335 & 0.3723 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Geslacht;PersSta & 0.1466 & 0.1382 & 0.055 \tabularnewline
p-value & (0.0651) & (0.0824) & (0.3288) \tabularnewline
Geslacht;Orga
 & -0.7115 & -0.6603 & -0.4684 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
ConMist;Doubact & -0.4536 & -0.531 & -0.3744 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
ConMist;ParExp & -0.0631 & -0.1061 & -0.0532 \tabularnewline
p-value & (0.4296) & (0.1834) & (0.344) \tabularnewline
ConMist;ParCrit & -0.0694 & 0.0212 & 0.0135 \tabularnewline
p-value & (0.3849) & (0.7904) & (0.8096) \tabularnewline
ConMist;PersSta & 0.4768 & 0.4691 & 0.2927 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
ConMist;Orga
 & 0.0501 & -0.0095 & -0.0025 \tabularnewline
p-value & (0.5304) & (0.9054) & (0.9653) \tabularnewline
Doubact;ParExp & 0.575 & 0.5925 & 0.4326 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Doubact;ParCrit & -0.3179 & -0.3572 & -0.2463 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Doubact;PersSta & -0.6565 & -0.6613 & -0.4613 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Doubact;Orga
 & 0.3545 & 0.3165 & 0.2144 \tabularnewline
p-value & (0) & (0) & (1e-04) \tabularnewline
ParExp;ParCrit & -0.6679 & -0.7492 & -0.572 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
ParExp;PersSta & -0.682 & -0.635 & -0.4679 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
ParExp;Orga
 & 0.5862 & 0.597 & 0.4121 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
ParCrit;PersSta & 0.6436 & 0.6471 & 0.4969 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
ParCrit;Orga
 & -0.7905 & -0.6915 & -0.5016 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
PersSta;Orga
 & -0.5058 & -0.435 & -0.3224 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=108152&T=2

[TABLE]
[ROW][C]Correlations for all pairs of data series with p-values[/C][/ROW]
[ROW][C]pair[/C][C]Pearson r[/C][C]Spearman rho[/C][C]Kendall tau[/C][/ROW]
[ROW][C]Leeftijd;Geslacht[/C][C]-0.4593[/C][C]-0.5079[/C][C]-0.3502[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Leeftijd;ConMist[/C][C]-0.4585[/C][C]-0.4081[/C][C]-0.275[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Leeftijd;Doubact[/C][C]0.4691[/C][C]0.5021[/C][C]0.3196[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Leeftijd;ParExp[/C][C]0.37[/C][C]0.5749[/C][C]0.4249[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Leeftijd;ParCrit[/C][C]-0.5066[/C][C]-0.6188[/C][C]-0.4406[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Leeftijd;PersSta[/C][C]-0.6093[/C][C]-0.6729[/C][C]-0.465[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Leeftijd;Orga
[/C][C]0.6233[/C][C]0.6762[/C][C]0.4809[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Geslacht;ConMist[/C][C]-0.248[/C][C]-0.1868[/C][C]-0.0383[/C][/ROW]
[ROW][C]p-value[/C][C](0.0016)[/C][C](0.0184)[/C][C](0.4944)[/C][/ROW]
[ROW][C]Geslacht;Doubact[/C][C]0.0132[/C][C]0.0581[/C][C]0.0354[/C][/ROW]
[ROW][C]p-value[/C][C](0.8685)[/C][C](0.4668)[/C][C](0.5265)[/C][/ROW]
[ROW][C]Geslacht;ParExp[/C][C]-0.2625[/C][C]-0.3554[/C][C]-0.2255[/C][/ROW]
[ROW][C]p-value[/C][C](8e-04)[/C][C](0)[/C][C](1e-04)[/C][/ROW]
[ROW][C]Geslacht;ParCrit[/C][C]0.6883[/C][C]0.5335[/C][C]0.3723[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Geslacht;PersSta[/C][C]0.1466[/C][C]0.1382[/C][C]0.055[/C][/ROW]
[ROW][C]p-value[/C][C](0.0651)[/C][C](0.0824)[/C][C](0.3288)[/C][/ROW]
[ROW][C]Geslacht;Orga
[/C][C]-0.7115[/C][C]-0.6603[/C][C]-0.4684[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]ConMist;Doubact[/C][C]-0.4536[/C][C]-0.531[/C][C]-0.3744[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]ConMist;ParExp[/C][C]-0.0631[/C][C]-0.1061[/C][C]-0.0532[/C][/ROW]
[ROW][C]p-value[/C][C](0.4296)[/C][C](0.1834)[/C][C](0.344)[/C][/ROW]
[ROW][C]ConMist;ParCrit[/C][C]-0.0694[/C][C]0.0212[/C][C]0.0135[/C][/ROW]
[ROW][C]p-value[/C][C](0.3849)[/C][C](0.7904)[/C][C](0.8096)[/C][/ROW]
[ROW][C]ConMist;PersSta[/C][C]0.4768[/C][C]0.4691[/C][C]0.2927[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]ConMist;Orga
[/C][C]0.0501[/C][C]-0.0095[/C][C]-0.0025[/C][/ROW]
[ROW][C]p-value[/C][C](0.5304)[/C][C](0.9054)[/C][C](0.9653)[/C][/ROW]
[ROW][C]Doubact;ParExp[/C][C]0.575[/C][C]0.5925[/C][C]0.4326[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Doubact;ParCrit[/C][C]-0.3179[/C][C]-0.3572[/C][C]-0.2463[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Doubact;PersSta[/C][C]-0.6565[/C][C]-0.6613[/C][C]-0.4613[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Doubact;Orga
[/C][C]0.3545[/C][C]0.3165[/C][C]0.2144[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](1e-04)[/C][/ROW]
[ROW][C]ParExp;ParCrit[/C][C]-0.6679[/C][C]-0.7492[/C][C]-0.572[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]ParExp;PersSta[/C][C]-0.682[/C][C]-0.635[/C][C]-0.4679[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]ParExp;Orga
[/C][C]0.5862[/C][C]0.597[/C][C]0.4121[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]ParCrit;PersSta[/C][C]0.6436[/C][C]0.6471[/C][C]0.4969[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]ParCrit;Orga
[/C][C]-0.7905[/C][C]-0.6915[/C][C]-0.5016[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]PersSta;Orga
[/C][C]-0.5058[/C][C]-0.435[/C][C]-0.3224[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=108152&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=108152&T=2

As an alternative you can also use a QR Code:  
QR Code


The GUIDs for individual cells are displayed in the table below:

Correlations for all pairs of data series with p-values
pairPearson rSpearman rhoKendall tau
Leeftijd;Geslacht-0.4593-0.5079-0.3502
p-value(0)(0)(0)
Leeftijd;ConMist-0.4585-0.4081-0.275
p-value(0)(0)(0)
Leeftijd;Doubact0.46910.50210.3196
p-value(0)(0)(0)
Leeftijd;ParExp0.370.57490.4249
p-value(0)(0)(0)
Leeftijd;ParCrit-0.5066-0.6188-0.4406
p-value(0)(0)(0)
Leeftijd;PersSta-0.6093-0.6729-0.465
p-value(0)(0)(0)
Leeftijd;Orga 0.62330.67620.4809
p-value(0)(0)(0)
Geslacht;ConMist-0.248-0.1868-0.0383
p-value(0.0016)(0.0184)(0.4944)
Geslacht;Doubact0.01320.05810.0354
p-value(0.8685)(0.4668)(0.5265)
Geslacht;ParExp-0.2625-0.3554-0.2255
p-value(8e-04)(0)(1e-04)
Geslacht;ParCrit0.68830.53350.3723
p-value(0)(0)(0)
Geslacht;PersSta0.14660.13820.055
p-value(0.0651)(0.0824)(0.3288)
Geslacht;Orga -0.7115-0.6603-0.4684
p-value(0)(0)(0)
ConMist;Doubact-0.4536-0.531-0.3744
p-value(0)(0)(0)
ConMist;ParExp-0.0631-0.1061-0.0532
p-value(0.4296)(0.1834)(0.344)
ConMist;ParCrit-0.06940.02120.0135
p-value(0.3849)(0.7904)(0.8096)
ConMist;PersSta0.47680.46910.2927
p-value(0)(0)(0)
ConMist;Orga 0.0501-0.0095-0.0025
p-value(0.5304)(0.9054)(0.9653)
Doubact;ParExp0.5750.59250.4326
p-value(0)(0)(0)
Doubact;ParCrit-0.3179-0.3572-0.2463
p-value(0)(0)(0)
Doubact;PersSta-0.6565-0.6613-0.4613
p-value(0)(0)(0)
Doubact;Orga 0.35450.31650.2144
p-value(0)(0)(1e-04)
ParExp;ParCrit-0.6679-0.7492-0.572
p-value(0)(0)(0)
ParExp;PersSta-0.682-0.635-0.4679
p-value(0)(0)(0)
ParExp;Orga 0.58620.5970.4121
p-value(0)(0)(0)
ParCrit;PersSta0.64360.64710.4969
p-value(0)(0)(0)
ParCrit;Orga -0.7905-0.6915-0.5016
p-value(0)(0)(0)
PersSta;Orga -0.5058-0.435-0.3224
p-value(0)(0)(0)


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = pearson ;
Parameters (R input):
par1 = pearson ;
R code (references can be found in the software module):
panel.tau <- function(x, y, digits=2, prefix='', cex.cor)
{
usr <- par('usr'); on.exit(par(usr))
par(usr = c(0, 1, 0, 1))
rr <- cor.test(x, y, method=par1)
r <- round(rr$p.value,2)
txt <- format(c(r, 0.123456789), digits=digits)[1]
txt <- paste(prefix, txt, sep='')
if(missing(cex.cor)) cex <- 0.5/strwidth(txt)
text(0.5, 0.5, txt, cex = cex)
}
panel.hist <- function(x, ...)
{
usr <- par('usr'); on.exit(par(usr))
par(usr = c(usr[1:2], 0, 1.5) )
h <- hist(x, plot = FALSE)
breaks <- h$breaks; nB <- length(breaks)
y <- h$counts; y <- y/max(y)
rect(breaks[-nB], 0, breaks[-1], y, col='grey', ...)
}
bitmap(file='test1.png')
pairs(t(y),diag.panel=panel.hist, upper.panel=panel.smooth, lower.panel=panel.tau, main=main)
dev.off()
load(file='createtable')
n <- length(y[,1])
n
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,paste('Correlations for all pairs of data series (method=',par1,')',sep=''),n+1,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,' ',header=TRUE)
for (i in 1:n) {
a<-table.element(a,dimnames(t(x))[[2]][i],header=TRUE)
}
a<-table.row.end(a)
for (i in 1:n) {
a<-table.row.start(a)
a<-table.element(a,dimnames(t(x))[[2]][i],header=TRUE)
for (j in 1:n) {
r <- cor.test(y[i,],y[j,],method=par1)
a<-table.element(a,round(r$estimate,3))
}
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable.tab')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Correlations for all pairs of data series with p-values',4,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'pair',1,TRUE)
a<-table.element(a,'Pearson r',1,TRUE)
a<-table.element(a,'Spearman rho',1,TRUE)
a<-table.element(a,'Kendall tau',1,TRUE)
a<-table.row.end(a)
cor.test(y[1,],y[2,],method=par1)
for (i in 1:(n-1))
{
for (j in (i+1):n)
{
a<-table.row.start(a)
dum <- paste(dimnames(t(x))[[2]][i],';',dimnames(t(x))[[2]][j],sep='')
a<-table.element(a,dum,header=TRUE)
rp <- cor.test(y[i,],y[j,],method='pearson')
a<-table.element(a,round(rp$estimate,4))
rs <- cor.test(y[i,],y[j,],method='spearman')
a<-table.element(a,round(rs$estimate,4))
rk <- cor.test(y[i,],y[j,],method='kendall')
a<-table.element(a,round(rk$estimate,4))
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'p-value',header=T)
a<-table.element(a,paste('(',round(rp$p.value,4),')',sep=''))
a<-table.element(a,paste('(',round(rs$p.value,4),')',sep=''))
a<-table.element(a,paste('(',round(rk$p.value,4),')',sep=''))
a<-table.row.end(a)
}
}
a<-table.end(a)
table.save(a,file='mytable1.tab')